Senior Data Engineer

Who are Benifex? 💚💜

We are a fast-moving technology company, and one of the most successful providers of online reward and benefits solutions in the world. We believe that everyone deserves an exceptional experience at work, every day, and build workplace technology that makes this happen. Benifex’s mission is to build remarkable experiences that employees love. Today Benifex supports more than five million employees in over 3,000 organisations across more than 100 countries.

To help us on our quest to be the best, we need brilliant people on board and that’s where you come in. 🚀

• Challenge: Implement a scalable data platform to meet our internal and external analytics needs.
• Impact: Be one of the first hires to help build a world class data engineering function.
• Scale: A key pillar of our global growth plan is data, allowing us to make better decisions and deliver more value to our users.
• Top 10 Employer, Sunday Times Best Places to Work Awards
• Work for a profitable, fast-growing market leader in the online reward and benefits space

** Please note we are unable to offer visa sponsorship and require to people to be based in the UK or Ireland for this position**

• 💰 £80,
• 💻 Tech setup of your choice (Mac Book Pro or equivalent, monitors, etc.)
• 📚 £/€800 annual learning budget, plus two hours per week as ‘Focus Fridays’.
• 🤸 Flexible work – choose a working setup that works for you, our only ask is to see you once a month in the office and you must be based in the UK or Ireland.
• 💸 Full access to our comprehensive benefits package, including discounts from hundreds of high street brands, salary sacrifice schemes across Finance, Health, Tech, and more
• ✈️ 25 days holiday plus your local bank holidays
• 🎂 Your birthday off
• ❤️ Two half day wellbeing days
• 🩺 Healthcare cash plan to cover the costs of day-to-day healthcare
• 🧠 Employee Assistance Plan 24/7 365 support
• 🤒 Income Protection (75%) and life assurance (4x salary)
• 💰 Referral bonuses
• 🌟 Enhanced parental leave package - 26 weeks fully paid maternity leave and 4 weeks fully paid paternity leave
• ✈️ Work from Anywhere policy for 90 days
• 🏖️ Buy and Sell scheme for holidays
• 💳 £50 monthly allowance to spend on whatever takes your fancy, your very own Benifex card will be topped up at the start of each month!

As a senior hire in Data Engineering, reporting into our Data Director, you will have the opportunity to lay the foundations for our data vision. We are at the start of our data journey at Benifex, and we recognise a strong foundational data platform is a key first step on that journey. Whilst we have data infrastructure on GCP in-place and used today, this is focused on one providing analytics to our customers.

It’s not a data platform that has been designed with internal analytics in mind from the ground up, you will help design the platform architecture then build out the platform.

Data engineers are the people who enable everyone at Benifex to produce and consume data by leveraging the capabilities of the data platform (services such as Snowflake, Airflow, dbt and Thought Spot). They architect and implement the data platform infrastructure (e.g. using Terraform, Docker), and use it to collect and protect data from across our internally owned and externally procured systems landscape, to make available for consumption.

A focus on a great analytical developer experience is important as well, so they manage the tooling that makes it easy to produce and consume data products (and services) from data on the platform. Ultimately, they make it possible for Benifex to combine, enrich and consume data safely at scale so we can better achieve our company mission.

• Design and implement scalable data engineering pipelines and data models in our Snowflake data platform that can support our initial scaling needs for internal and external analytics.
• Craft a best-in-class data development experience for data professionals (data analysts, analytics engineers, data scientists). Partner with and understand the needs of your users to make it safe, easy, and possible for all data professionals to build self-serving data…